from io import BytesIO
from typing import List, Union

import requests

from ..utils import add_end_docstrings, is_decord_available, is_torch_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_decord_available():
				import numpy as np
				from decord import VideoReader


if is_torch_available():
				from ..models.auto.modeling_auto import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING

A						=			logging.get_logger(__name__)





@add_end_docstrings(SCREAMING_SNAKE_CASE_			)
class     lowerCAmelCase__     (				SCREAMING_SNAKE_CASE_			):


		'''simple docstring'''






		def __init__(       self     :     Optional[Any]     ,  *snake_case__     :     List[str]     ,  **snake_case__     :     Union[str, Any]		)      ->	List[Any]:
				super().__init__(*snake_case__     ,  **snake_case__		)
				requires_backends(self     ,  'decord'		)
				self.check_model_type(snake_case__		)
		def   _snake_case       (       self     :     Optional[int]     ,  snake_case__     :     Any=None     ,  snake_case__     :     Tuple=None     ,  snake_case__     :     Any=None		)      ->	Any:
				_lowerCamelCase				   =  {}
				if frame_sampling_rate is not None:
						_lowerCamelCase				   =  frame_sampling_rate
				if num_frames is not None:
						_lowerCamelCase				   =  num_frames

				_lowerCamelCase				   =  {}
				if top_k is not None:
						_lowerCamelCase				   =  top_k
				return preprocess_params, {}, postprocess_params
		def __call__(       self     :     List[str]     ,  snake_case__     :     Union[str, List[str]]     ,  **snake_case__     :     str		)      ->	Dict:
				return super().__call__(snake_case__     ,  **snake_case__		)
		def   _snake_case       (       self     :     Optional[Any]     ,  snake_case__     :     int     ,  snake_case__     :     Optional[int]=None     ,  snake_case__     :     str=1		)      ->	int:
				if num_frames is None:
						_lowerCamelCase				   =  self.model.config.num_frames

				if video.startswith('http://'		) or video.startswith('https://'		):
						_lowerCamelCase				   =  BytesIO(requests.get(snake_case__		).content		)

				_lowerCamelCase				   =  VideoReader(snake_case__		)
				videoreader.seek(0		)

				_lowerCamelCase				   =  0
				_lowerCamelCase				   =  num_frames * frame_sampling_rate - 1
				_lowerCamelCase				   =  np.linspace(snake_case__     ,  snake_case__     ,  num=snake_case__     ,  dtype=np.intaa		)

				_lowerCamelCase				   =  videoreader.get_batch(snake_case__		).asnumpy()
				_lowerCamelCase				   =  list(snake_case__		)

				_lowerCamelCase				   =  self.image_processor(snake_case__     ,  return_tensors=self.framework		)
				return model_inputs
		def   _snake_case       (       self     :     int     ,  snake_case__     :     Dict		)      ->	Tuple:
				_lowerCamelCase				   =  self.model(**snake_case__		)
				return model_outputs



		def   _snake_case       (       self     :     int     ,  snake_case__     :     Optional[Any]     ,  snake_case__     :     int=5		)      ->	str:
				if top_k > self.model.config.num_labels:
						_lowerCamelCase				   =  self.model.config.num_labels

				if self.framework == "pt":
						_lowerCamelCase				   =  model_outputs.logits.softmax(-1		)[0]
						_lowerCamelCase   ,							_lowerCamelCase				   =  probs.topk(snake_case__		)
				else:
						raise ValueError(f"""Unsupported framework: {self.framework}"""		)

				_lowerCamelCase				   =  scores.tolist()
				_lowerCamelCase				   =  ids.tolist()
				return [{"score": score, "label": self.model.config.idalabel[_id]} for score, _id in zip(snake_case__     ,  snake_case__		)]
from __future__ import annotations

from bisect import bisect_left
from functools import total_ordering
from heapq import merge





@total_ordering
class     lowerCAmelCase__     (				SCREAMING_SNAKE_CASE_			):


		'''simple docstring'''






		def __lt__(       self     :     List[Any]     ,  snake_case__     :     int		)      ->	Any:
				return self[-1] < other[-1]



		def __eq__(       self     :     Tuple     ,  snake_case__     :     Union[str, Any]		)      ->	Union[str, Any]:
				return self[-1] == other[-1]



def 	lowerCamelCase					(	UpperCamelCase     :				list							)   ->    list:
		_lowerCamelCase				   =  []
		# sort into stacks
		for element in collection:
				_lowerCamelCase				   =  Stack([element]							)
				_lowerCamelCase				   =  bisect_left(UpperCamelCase			,       UpperCamelCase							)
				if i != len(UpperCamelCase							):
						stacks[i].append(UpperCamelCase							)
				else:
						stacks.append(UpperCamelCase							)

    # use a heap-based merge to merge stack efficiently
		_lowerCamelCase				   =  merge(*(reversed(UpperCamelCase							) for stack in stacks)							)
		return collection


if __name__ == "__main__":
				A						=			input('Enter numbers separated by a comma:\n').strip()
				A						=			[int(item) for item in user_input.split(',')]
				print(patience_sort(unsorted))